Storage

We’re excited to announce Cray ClusterStor in Azure, a dedicated solution to accelerate data processing of the most complex HPC jobs running in Azure.

A common scenario where SAP customers can experience the speed and agility of the Azure platform is the ability to migrate from a SAP Business Suite running on-premises to SAP S/4HANA in the cloud.

A Recovery Services vault is an Azure Resource Manager resource to manage your backup and disaster recovery needs natively in the cloud. Today, we are pleased to announce the general availability support of the move functionality for recovery services vaults.

Today’s announcement of the Token Taxonomy Initiative (TTI) is a milestone in the maturity of the blockchain industry.

AzCopy v10 (Preview) now supports Amazon Web Services (AWS) S3 as a data source. You can now copy an entire AWS S3 bucket, or even multiple buckets, to Azure Blob Storage using AzCopy.

Want to evaluate your cloud analytics provider? Here are the three questions to ask.; Hybrid storage performance comes to Azure; Introducing the App Service Migration Assistant for ASP.

When it comes to adding a performance tier between compute and file storage, Avere Systems has led the way with its high-performance caching appliance known as the Avere FXT Edge Filer.

In the world of manufacturing, the Industrial Internet of Things (IIoT) has come, and that means data. A loT of data. Smart machines, equipped with sensors, add to the large quantity of data already generated from quality systems, MES, ERP and other production systems.

Precision medicine tailors a patient’s medical treatment by factoring in their genetic makeup and clinical data.

Enabling customers’ hybrid strategy with new Microsoft innovation; Hannover Messe 2019: Azure IoT Platform updates power new, highly-secured Industrial IoT Scenarios; Announcing Azure Stack HCI: A new member of the Azure Stack family; and much more.

I am happy to announce that High-Throughput Block Blob (HTBB) is globally enabled in Azure Blob Storage.

Data sets have unique lifecycles. Some data is accessed often early in the lifecycle, but the need for access drops drastically as the data ages.